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Statistical Data Analyst Jobs in Boston, MA (NOW HIRING)

Data Analyst

Natick, MA ยท On-site

Support root cause investigations through data analysis and statistical evaluation. * Assist in developing automated reporting and data analysis tools to improve efficiency. * Document analysis ...

Data Analyst

Natick, MA ยท On-site

Support root cause investigations through data analysis and statistical evaluation. * Assist in developing automated reporting and data analysis tools to improve efficiency. * Document analysis ...

On the whole your going to be a passionate player in using statistical tools and positive attitude ... You are powerful in data science, business reporting, and statistical analysis. * You are ...

Sr Data Analyst/Data Analyst

Sudbury, MA ยท On-site

$74K - $112K/yr

Perform complex statistical analyses to identify trends, patterns, and opportunities for revenue optimization and operational improvement. * Ensure data integrity, governance, and consistency across ...

Sr Data Analyst/Data Analyst

Sudbury, MA ยท On-site

$74K - $112K/yr

Perform complex statistical analyses to identify trends, patterns, and opportunities for revenue optimization and operational improvement. * Ensure data integrity, governance, and consistency across ...

SUMMARY The Soccer Data Analyst is responsible for applying advanced statistical methods, programming, and data science techniques to analyze soccer event, tracking, physical, and performance data.

Senior Data Analyst

Waltham, MA

$92K - $117K/yr

Solid understanding of statistical measures, including p-values, confidence intervals, and causal ... data; you influence strategy. You are highly skilled at translating complex statistical analysis ...

Senior Data Analyst

Waltham, MA ยท On-site

$92K - $117K/yr

Solid understanding of statistical measures, including p-values, confidence intervals, and causal ... data; you influence strategy. You are highly skilled at translating complex statistical analysis ...

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ... Basic knowledge of descriptive and inferential statistics (e.g., graphical techniques, predictive ...

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ... Basic knowledge of descriptive and inferential statistics (e.g., graphical techniques, predictive ...

Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ... Basic knowledge of descriptive and inferential statistics (e.g., graphical techniques, predictive ...

Apply statistical and data-modeling techniques to answer business questions and support decision-making * Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and ...

Job Summary The Data Analyst (I or II) reports to the CASI Research Administrative Manager, the ... Knowledge and application of statistical analyses, including variance analysis and statistical ...

Senior Data Analyst

Boston, MA ยท On-site

$130K - $180K/yr

The role will require significant experience and confidence in data analytics, SQL, and statistics. We are looking for someone already skilled at analyzing complex data, asking the right questions ...

... statistical analyses, including variance analysis and statistical significance, are preferred ... and data management as well as clinical and public health research.The position offers a ...

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Statistical Data Analyst information

See Boston, MA salary details

$32.6K

$76.5K

$127.7K

How much do statistical data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for statistical data analyst in Boston, MA is $76,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $88,000.00 per year, depending on experience, location, and employer.

What is the difference between Statistical Data Analyst vs Data Scientist?

AspectStatistical Data AnalystData Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysisBachelor's or higher in Computer Science, Statistics, or related; often advanced degrees and certifications in machine learning
Work EnvironmentCorporate, finance, healthcare, government; focused on data reporting and analysisTech firms, startups, research; involves data modeling, machine learning, and predictive analytics
Employer & Industry UsageUsed across industries for data reporting and insightsUsed in tech, finance, and research for complex data modeling and predictive tasks

While both roles analyze data, Statistical Data Analysts focus on interpreting data and generating reports, whereas Data Scientists develop models and algorithms to predict future trends. The roles overlap in skills but differ in complexity and scope.

Is 40 too late for data science?

A statistical data analyst can transition into data science at any age, including 40, as the field values skills like programming, statistics, and data visualization which can be learned through online courses and certifications. Many professionals successfully switch careers later in life by gaining relevant experience and building a portfolio of projects.

What are the key skills and qualifications needed to thrive as a Statistical Data Analyst, and why are they important?

To thrive as a Statistical Data Analyst, you need strong quantitative skills, a solid background in statistics or mathematics, and typically a bachelor's or master's degree in a related field. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools and databases, is essential. Outstanding analytical thinking, attention to detail, and the ability to communicate complex findings clearly make someone stand out in this position. These skills are crucial for accurately interpreting data, providing actionable insights, and supporting effective decision-making within organizations.

What does a Statistical Data Analyst do?

A Statistical Data Analyst is responsible for collecting, processing, and interpreting large sets of data to identify trends, patterns, and insights that inform business decisions. They use statistical techniques and software tools to analyze data, create reports, and present their findings to stakeholders. Statistical Data Analysts often work closely with other teams to support research, improve processes, or solve specific problems using data-driven approaches.

Is statistician a high paying job?

Statisticians and data analysts typically earn competitive salaries, with median wages above the national average depending on experience, education, and industry. Advanced skills in statistical software and data management can lead to higher compensation, especially in sectors like finance, healthcare, and technology.

What is the salary of a statistician data analyst?

The salary of a statistical data analyst typically ranges from $60,000 to $85,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with advanced skills in statistical software can earn higher salaries.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain knowledge. Therefore, while AI tools enhance efficiency, they are unlikely to fully replace data analysts, who will continue to be essential for strategic decision-making and nuanced analysis.

What are some common challenges Statistical Data Analysts face when interpreting large datasets, and how are these typically addressed in the workplace?

Statistical Data Analysts often encounter challenges such as dealing with incomplete or inconsistent data, managing large volumes of information, and ensuring the accuracy of their analyses. To address these, analysts typically use data cleaning techniques, collaborate closely with data engineers or IT teams to streamline data pipelines, and employ robust statistical methods to minimize errors. Regular team meetings and peer reviews are also common practices to ensure the validity of results and to foster a collaborative problem-solving environment.
What job categories do people searching Statistical Data Analyst jobs in Boston, MA look for? The top searched job categories for Statistical Data Analyst jobs in Boston, MA are:
Infographic showing various Statistical Data Analyst job openings in Boston, MA as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $76,537 per year, or $36.8 per hour.
Data Analyst

Data Analyst

Busek Co Inc

Natick, MA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Job Title: Data Analyst
About Busek
Busek Co. Inc. is a pioneer in advanced space propulsion and technology. Located in Natick, MA, we develop innovative solutions that enable the future of space exploration. Our products and technologies include electric propulsion systems, chemical propulsion, and advanced material development. Join our team to work on cutting-edge projects that shape the space industry.
Position Overview
Busek is seeking a Data Analyst to support the analysis of test and production data for advanced space propulsion systems. This role will work closely with Engineering, Test Operations, and Manufacturing to transform large volumes of technical data into meaningful insights that improve product performance, manufacturing processes, and production readiness.
The ideal candidate is analytical, curious, and self-motivated, with the ability to work independently and quickly learn new systems and technologies. While experience with electric propulsion is beneficial, candidates with strong data analysis skills and experience supporting engineering or manufacturing organizations are encouraged to apply.
Key Responsibilities
  • Analyze data generated from engineering testing, production, and manufacturing activities to identify trends, anomalies, and opportunities for improvement.
  • Develop reports, dashboards, and visualizations that communicate technical findings to engineering and leadership teams.
  • Partner with Engineering, Manufacturing, and Test Operations to support product development and production initiatives.
  • Validate data quality and ensure the integrity of engineering and manufacturing datasets.
  • Support root cause investigations through data analysis and statistical evaluation.
  • Assist in developing automated reporting and data analysis tools to improve efficiency.
  • Document analysis methods, assumptions, and results to support engineering decisions.
  • Present findings and recommendations clearly to technical and non-technical audiences.
  • Support continuous improvement initiatives by identifying opportunities to improve data collection, reporting, and decision-making.
Qualifications
  • Bachelor's degree in Engineering, Data Analytics, Mathematics, Computer Science, Physics, Statistics, or a related technical field.
  • Strong analytical and problem-solving skills with the ability to interpret complex technical data.
  • Experience analyzing large datasets using Excel and other data analysis tools.
  • Ability to work independently, manage multiple priorities, and learn new technologies with minimal supervision.
  • Strong written and verbal communication skills.
  • Attention to detail and a commitment to producing accurate, actionable analysis.
Preferred Skills
  • Experience using Python, MATLAB, SQL, Power BI, Tableau, or similar analytical tools.
  • Experience supporting engineering, manufacturing, aerospace, or other technical organizations.
  • Familiarity with statistical analysis and data visualization techniques.
  • Experience working with production, manufacturing, or test data.
  • Knowledge of electric propulsion, aerospace systems, or other advanced engineering technologies is a plus but not required.
Benefits
  • Health, dental, and vision insurance.
  • Paid time off and holidays.
  • Retirement savings plan (401k).
  • Professional development opportunities.
  • Collaborative and innovative work environment.
What We Offer
  • Opportunity to work on cutting-edge space propulsion technology.
  • Exposure to advanced engineering, testing, and manufacturing operations.
  • Opportunity to influence product development and production decisions through meaningful data analysis.
  • Collaborative environment working alongside engineers developing next-generation space systems.
U.S. Citizenship Requirement
Due to the nature of work performed under U.S. government contracts and applicable security and contractual requirements, this position is limited to U.S. citizens.